# Claire Max UC Santa Cruz January 24, 2013

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Claire Max UC Santa Cruz January 24, 2013
Propagation of Light Through Atmospheric Turbulence Lecture 6, ASTR 289 Claire Max UC Santa Cruz January 24, 2013

What is typical timescale for flow across distance r0 ?
Note: previous version had math errors Time for wind to carry frozen turbulence over a subaperture of size r0 (Taylor’s frozen flow hypothesis): τ0 ~ r0 / V Typical values at a good site, for V = 20 m/sec: Wavelength (μm) r0 τ0 = r0 / V f0 = 1/τ0 = V / r0 0.5 10 cm 5 msec 200 Hz 2 53 cm 27 msec 37 Hz 10 3.6 meters 180 msec 5.6 Hz

Review of atmospheric parameters that are key to AO performance
r0 (“Fried parameter”) Sets number of degrees of freedom of AO system τ0 (or “Greenwood Frequency” fG ~ 1 / τ0 ) τ0 ~ r0 / V where Sets timescale needed for AO correction θ0 (isoplanatic angle) Angle for which AO correction applies

What is “residual wavefront error” ?
Science Instrument AO System Telescope Very distorted wavefront Less distorted wavefront (but still not perfect)

Credit: James Lloyd, Cornell Univ.
Shape of Deformable Mirror Incident wavefront Corrected wavefront Image of point source Image of point source Credit: James Lloyd, Cornell Univ.

How to calculate residual wavefront error
Optical path difference = Δz where k Δz is the phase change due to turbulence Phase variance is σ2 = <(k Δz)2 > If several independent effects cause changes in the phase, Sum up the contributions from individual physical effects independently

An error budget can describe wavefront phase or optical path difference
Be careful of units (Hardy and I will both use a variety of units in error budgets): For tip-tilt residual errors: variance of tilt angle <α2> Optical path difference in meters: OPDm Optical path difference in waves: OPDλ = OPDm / λ Optical path difference in radians of phase: ϕ = 2π OPDλ = (2π/λ) OPDm = k OPDm

If the total wavefront error is
Question If the total wavefront error is σtot2 = σ12 + σ22 + σ List as many physical effects as you can think of that might contribute to the overall wavefront error σtot2

Elements of an adaptive optics system
DM fitting error Not shown: tip-tilt error, anisoplanatism error temporal delay, noise propagation Non-common path errors Measurement error

What is an “error budget” ?
The allocation of statistical variations and/or error rates to individual components of a system, in order to satisfy the full system's end-to-end performance specifications. The term “error budget” is a bit misleading: it doesn’t mean “error” as in “mistake” - it means performance uncertainties, and/or the imperfect, “real life” performance of each component in the system. In a new project: Start with “top down” performance requirements from the science that will be done. Allocate “errors” to each component to satisfy overall requirements. As design proceeds, replace “allocations” with real performance of each part of system. Iterate.

Hardy Figure 2.32

Wavefront errors due to time lags, τ0
Wavefront phase variance due to τ0 = fG-1 If an AO system corrects turbulence “perfectly” but with a phase lag characterized by a time τ, then The factor of 28.4 out front is significant penalty: have to run your AO system faster than τ = τ0 For στ2 < 1, τ < 0.13 τ0 In addition, closed-loop bandwidth is usually ~ 10x sampling frequency  have to run even faster Hardy Eqn 9.57

Wavefront variance due to isoplanatic angle θ0
If an AO system corrects turbulence “perfectly” but uses a guide star an angle θ away from the science target, then Typical values of θ0 are a few arc sec at λ = 0.5 μm, arc sec at λ = 2 μm Vision Science: θ0 ~ 1 degree ! (Bedggood et al. J. Biomed. Optics 132, , 2008 Hardy Eqn 3.104

Deformable mirror fitting error
Accuracy with which a deformable mirror with subaperture diameter d can remove aberrations Constant μ depends on specific design of deformable mirror For segmented mirror that corrects tip, tilt, and piston (3 degrees of freedom per segment) μ = 0.14 For deformable mirror with continuous face-sheet, μ = 0.28

Error budget concept (sum of σ2 ’s)
There’s not much to be gained by making any particular term much smaller than all the others: try to roughly equalize all the terms Individual terms we know so far: Anisoplanatism Temporal error Fitting error

We will discuss other wavefront error terms in coming lectures
Tip-tilt errors (this lecture if there is time) Imperfect sensing and/or correcting of image wander, due to atmosphere or telescope motions (wind shake) Measurement error Wavefront sensor doesn’t make perfect measurements Finite signal to noise ratio, optical limitations, … Non-common-path errors Calibration of different optical paths between science instrument and wavefront sensor isn’t perfect

Still need to work these out
Error budget so far Still need to work these out Try to “balance” error terms: if one is big, no point struggling to make the others tiny

Keck AO error budget example
Assumptions: NGS is very bright (no meas’t error) 10 degree zenith angle Wavefront sensor bandwidth: 670 Hz Note that uncorrectable errors in telescope itself are significant

We want to relate phase variance <σ2> to the “Strehl ratio”
Two definitions of Strehl ratio (equivalent): Ratio of the maximum intensity of a point spread function to what the maximum would be without any aberrations: The “normalized volume” under the optical transfer function of an aberrated optical system

Relation between phase variance and Strehl ratio
“Maréchal Approximation” where σϕ2 is the total wavefront variance Valid when Strehl > 10% or so (σϕ2 < 2.3 ) Under-estimates Strehl for larger values of σϕ2

High Strehl PSF with higher peak intensity and narrower “core”
Low Strehl Medium Strehl

Characterizing image motion or tip-tilt

Image motion or “tip-tilt” also contributes to total wavefront error
Turbulence both blurs an image and makes it move around on the sky (image motion). Due to overall “wavefront tilt” component of the turbulence across the telescope aperture Can “correct” this image motion using a tip-tilt mirror (driven by signals from an image motion sensor) to compensate for image motion (Hardy Eqn one axis)

Scaling of tip-tilt with λ and D: the good news and the bad news
In absolute terms, rms image motion in radians is independent of λ, and decreases slowly as D increases: But you might want to compare image motion to diffraction limit at your wavelength: Now image motion relative to diffraction limit is almost ~ D, and becomes larger fraction of diffraction limit for smaller λ

Long exposures, no AO correction
“Seeing limited”: Units are radians Seeing disk gets slightly smaller at longer wavelengths: FWHM ~ λ / λ-6/5 ~ λ-1/5 For completely uncompensated images, wavefront error σ2uncomp = 1.02 ( D / r0 )5/3

Correcting tip-tilt has relatively large effect, for seeing-limited images
For completely uncompensated images σ2uncomp = 1.02 ( D / r0 )5/3 If image motion (tip-tilt) has been completely removed σ2tiltcomp = ( D / r0 )5/3 (Tyson, Principles of AO, eqns 2.61 and 2.62) Removing image motion can (in principle) improve the wavefront variance of an uncompensated image by a factor of 10 Origin of statement that “Tip-tilt is the single largest contributor to wavefront error”

But you have to be careful if you want to apply this statement to AO correction
If tip-tilt has been completely removed σ2tiltcomp = ( D / r0 )5/3 But typical values of ( D / r0 ) are in the near-IR Keck, D=10 m, r0 = 60 cm at λ=2 μm, ( D/r0 ) = 17 σ2tiltcomp = ( 17 )5/3 ~ 15 so wavefront phase variance is >> 1 Conclusion: if ( D/r0 ) >> 1, removing tilt alone won’t give you anywhere near a diffraction limited image

Effects of turbulence depend on size of telescope
Coherence length of turbulence: r0 (Fried’s parameter) For telescope diameter D < (2 - 3) x r0 : Dominant effect is "image wander" As D becomes >> r0 : Many small "speckles" develop Computer simulations by Nick Kaiser: image of a star, r0 = 40 cm D = 2 m D = 1 m D = 8 m

Effect of atmosphere on long and short exposure images of a star
Hardy p. 94 Vertical axis is image size in units of λ /r0 Correcting tip-tilt only is optimum for D/r0 ~ 1 - 3 Image motion only FWHM = l/D

Summary of topics discussed today
Timescale of turbulence Isoplanatic angle Deformable mirror fitting error Concept of an “error budget” Image motion or tip-tilt Goal: to calculate <σϕ2> and thus the Strehl ratio